code: def _copy_default(x, *args, **kwargs):
      if isinstance(
          x, (RandomVariable, tf.Operation, tf.Tensor, tf.Variable)
      ):
          x = copy(x, *args, **kwargs)
  
      return x
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import six
  import tensorflow
  from copy import deepcopy
  from edward.models.random_variable import RandomVariable
  from edward.models.random_variables import TransformedDistribution
  from edward.models import PointMass
  from edward.util.graphs import random_variables
  from tensorflow.core.framework import attr_value_pb2
  from tensorflow.python.framework.ops import set_shapes_for_outputs
  from tensorflow.python.util import compat
label_desc: Use image node_id 5 for calling a global function with example usage: _copy_default(x) and returns: x